# Multi-Output Artificial Neural Network for Storm Surge Prediction in North Carolina

arXiv: https://arxiv.org/abs/1609.07378 · HTML: https://mlsanity.com/paper/1609.07378/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Sep 2016.

## Built on by (most cited first, 1 of 1)

- [A Framework for Flexible Peak Storm Surge Prediction](https://mlsanity.com/paper/2204.13168/) (2022)

## Abstract (arXiv)

During hurricane seasons, emergency managers and other decision makers need accurate and `on-time' information on potential storm surge impacts. Fully dynamical computer models, such as the ADCIRC tide, storm surge, and wind-wave model take several hours to complete a forecast when configured at high spatial resolution. Additionally, statically meaningful ensembles of high-resolution models (needed for uncertainty estimation) cannot easily be computed in near real-time. This paper discusses an artificial neural network model for storm surge prediction in North Carolina. The network model provides fast, real-time storm surge estimates at coastal locations in North Carolina. The paper studies the performance of the neural network model vs. other models on synthetic and real hurricane data.